Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Overcoming Oscillations in Quantization-Aware Training
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.11086.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:50:46.805288Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
18
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 599260c0-a2cf-4525-b515-3e5a3bd2719c · inbound
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training cites this paper.
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Overcoming Oscillations in Quantization-Aware Training
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:50:46.805288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd1ed3d2-da59-46d0-9848-732c1e7e2064 · inbound
Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training cites this paper.
Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training Overcoming Oscillations in Quantization-Aware Training
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T23:14:01.506937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 81390add-29be-43f0-8cd3-102ad3890ef8 · inbound
Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks cites this paper.
Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks Overcoming Oscillations in Quantization-Aware Training
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T05:13:06.544542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.